code: def _preprocess_domain_parameters(
      domain_parameters, var_prefix="var_"
  ):
      """Preprocesses domain parameters in a configuration specification."""
      # pylint: disable=too-many-branches
      if domain_parameters is None:
          return domain_parameters
      for idx, var_dict in enumerate(domain_parameters):
          if not "name" in var_dict.keys():
              var_dict["name"] = "%s%02d" % (var_prefix, idx)
          if not "dim" in var_dict.keys():
              var_dict["dim"] = ""
          if not "kernel" in var_dict.keys():
              var_dict["kernel"] = ""
          if var_dict["type"] in ["float", "int"]:
              if not (
                  "min" in var_dict.keys() and "max" in var_dict.keys()
              ):
                  if not "bounds" in var_dict.keys():
                      raise ValueError(
                          "Specify bounds or min and max for Euclidean and Integral "
                          + "variables: %s." % (var_dict)
                      )
                  else:
                      var_dict["min"] = var_dict["bounds"][0]
                      var_dict["max"] = var_dict["bounds"][1]
          if var_dict["type"] == "discrete_numeric":
              if "items" not in var_dict.keys():
                  raise ValueError(
                      "Specify items for discrete_numeric variables."
                  )
              if isinstance(var_dict["items"], str):
                  if ":" not in var_dict["items"]:
                      _items = [
                          float(x) for x in var_dict["items"].split("-")
                      ]
                  else:
                      _range = [
                          float(x) for x in var_dict["items"].split(":")
                      ]
                      _items = list(
                          np.arange(_range[0], _range[2], _range[1])
                      )
                  var_dict["items"] = _items
          if (
              var_dict["type"] == "discrete_euclidean"
              and var_dict["dim"] != ""
          ):
              raise ValueError(
                  "dim parameter for Discrete Euclidean vectors should be an empty"
                  + " string or not specified. Given %s."
                  % (var_dict["dim"])
              )
      return domain_parameters
  
imports: from __future__ import print_function
  from argparse import Namespace
  from copy import deepcopy
  import numpy
  from warnings import warn
  from .None import domains
  from ..parse.config_parser import config_parser
  from ..utils.general_utils import flatten_list_of_objects_and_iterables, get_original_order_from_reordered_list, transpose_list_of_lists
  from ..utils.oper_utils import random_sample_from_euclidean_domain, random_sample_from_discrete_euclidean_domain, random_sample_from_integral_domain, random_sample_from_prod_discrete_domain
label_desc: Use image node_id 2 for calling a global function with example usage: _preprocess_domain_parameters(domain_parameters, var_prefix) and returns: domain_parameters, domain_parameters